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Two Player Correlated Recommendation Incentive Term Tool

Calculate one probability-weighted obey-minus-deviate payoff contribution to an explicit correlated-equilibrium incentive inequality.

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Description

Calculate one probability-weighted incentive contribution for a correlated recommendation.

Game-theoretic calculations depend on specified players, actions, payoff direction, probabilities and continuation assumptions. A single incentive term, coalition inequality or candidate best response is only part of a complete equilibrium argument. Supplied preferences and payoffs are model inputs rather than observed behavior or a moral allocation rule.

Calculate one probability-weighted incentive contribution for a correlated recommendation.

When to use this tool

Use Two Player Correlated Recommendation Incentive Term when checking the stated local payoff, strategy, matching or repeated-game condition.

How to use the tool and how it works

  1. Enter jointRecommendationProbability, obeyPayoff, deviationPayoff. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read incentiveContribution. Use the output convention below.

Require jointRecommendationProbability in [0,1]. Return probability*(obeyPayoff-deviationPayoff) as one incentive contribution.1

Input fieldMeaning and unitsAccepted input
jointRecommendationProbabilityJoint probability for one recommendation cell, rather than a normalized conditional probability.Required. Finite number; minimum 0; maximum 1.
obeyPayoffObey PayoffRequired. Finite number.
deviationPayoffDeviation PayoffRequired. Finite number.
Output fieldInterpretationReturned shape
incentiveContributionIncentive ContributionRequired. Finite number.
json
{
  "input": {
    "jointRecommendationProbability": 0.25,
    "obeyPayoff": 8,
    "deviationPayoff": 4
  },
  "output": {
    "incentiveContribution": 1
  }
}

Limitations and assumptions

  • Probability is a joint recommendation weight, not an automatically normalized conditional probability; one term does not establish correlated equilibrium.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.

Alternative or Complementary methods

Use the complete game, feasible strategy space and justified information/continuation assumptions for equilibrium, welfare or actual decision analysis.

References

  1. Calculation and input contract: game-theory/two-player-correlated-recommendation-incentive-term — tool.io

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